﻿This YouTubeFFL_MFG_20190606_readme.txt file was generated on 20190606 by Lisa Jordan.

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GENERAL INFORMATION
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Title of Dataset: FFL Manufacturers YouTube Assessment, May 2019  

Author Information (Name, Institution, Address, Email)

  Colleen Dabrowski, Drew University, 36 Madison Ave. Madison, NJ  
  Lisa Jordan, Drew University, 36 Madison Ave. Madison, NJ, ljordan@drew.edu
  James Kalin, Drew University, 36 Madison Ave. Madison, NJ
  
Date of data collection (single date, range, approximate date): 20190603
Geographic location of data collection: Madison, NJ

Information about funding sources or sponsorship that supported the collection of the data:
Digitial Humanities Summer Institute (DHSI), funded by Andrew W. Mellon grant, awarded to Drew University.

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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse: as is

Recommended citation for the data:

Dabrowski, C., Jordan, L., Kalin, J. 2019. FFL Manufacturers YouTube Assessment, June 2019.  

Links/relationships to ancillary or related data sets: Acquired most viewed and most recent lists analytics from SocialBlade and YouTube.

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DATA & FILE OVERVIEW
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File list (filenames, directory structure (for zipped files) and brief description of all data files):

YouTubeFFL_MFG_20190606.xls; YouTubeFFL_MFG_20190606.csv

YouTubeFFL_MFG_20190603.csv contains links and titles of 406 YouTube videos, each coded for an additional attributes, and three ID codes.

Selections of the AggregateMFG in the first sheet are included in subsequent sheets, most recent, and top viewed.

Original YouTube Analytics (Date, URL, Video Title Platform, Comments, Views, and Like/Dislike Ration) obtained from Social Blade [http://socialblade.com/].

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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data: <Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

First, major arms manufacturers were identified using the Annual Firearms Manufacturing and Export Report, 2017." Originally published by the Bureau of Alcohol, Firearms and Tobacco (ATF), 30 January 2019.  These data were converted from a .pdf to .csv file in order to total the number of guns produced per manufacturer, by location.  This dataset is available on Harvard Dataverse:

ATF. 2019. "Annual Firearms Manufacturing and Export Report, 2017." Originally published by the Bureau of Alcohol, Firearms and Tobacco (ATF), 30 January 2019, Washington, DC. Downloaded 14 May 2019 from https://www.atf.gov/file/133476/download as afmer_2017_final.pdf.  Data Compiled and Aggregated to .csv format by L. Jordan, J. Kalin, J. Jordan. 14 May. Available online from Harvard Dataverse.

For this project, we chose to explore the top manufacturers, which produced over 50 thousand firearms.  Several manufacturers operated at multiple locations.  Given that a significant portion of firearms enter the US as imports, and are not included in the manufacturing list, we identified top manufacturers in other countries with sizable exports of firearms to the US: Croatia (HS Produkt), Turkey (MKE, also Zenith Firearms), the Czech Republic (CZ firearms), and the Philippines (Armscor).  We obtained 425 videos, including the most recent videos and most viewed videos, ending May 31, 2019, from Social Blade and YouTube.  For coding purposes, we explored the ten most recent videos, and the ten most viewed viewed, for each of the 22 manufacturers.

Methods for processing the data: 

From the YouTube and Social Blade analytics, we created spreadsheets for each manufacturer's videos.  ID codes were used to identify the ten most recent videos, and the top ten most viewed videos by YouTube channel.  In some cases there was an overlap among the most recent and most retweeted.  Then, CD and LJ coded characterized each tweet based on 19 characteristics, defined below: Handgun, Shotgun, Rifle, Attributes, Protection, Hunting, Recreation, 2A, NRA, Conceal Carry, Family, Kids, Female, Patriotism, Veterans, Military, Police, Western, and Weblink.  Value of 1 was entered if the theme or characteristic was present, zero otherwise.  JK assisted with assessment support, such as identification and classification of firearms as handgun/pistol, shotgun or rifle.

Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers:

.csv or .xls files may be opened in spreadsheet applications, such as Excel or Google Sheets, or open source software such as Open Office.

Describe any quality-assurance procedures performed on the data:

Data were coded individually, but simultaneously, frequently working at the same table.  The coders regularly consulted each other on appropriate coding practices and developing a consensus interpretation of characteristics.

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DATA-SPECIFIC INFORMATION <Create sections for each datafile or set, as appropriate>
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Number of variables:
31

Number of cases/rows: 
top row contains header with variable names
426 rows
28 columns

Variable list, defining any abbreviations, units of measure, codes or symbols used:
   
Date: date, reported by Social Blade and YouTube
URL: weblink to YouTube post
Video Title: title of video displayed on YouTube, obtained from Social Blade
Manufacturer: name of manufacturer
ID: number to indicated order for 10 most recent videos by manufacturer
TOPID: number to indicate order for top 10 videos, by views
CROSSID: concatenated ID and TOPID
Comments: number of comments on video
Views: number of video views reported by YouTube
Like/Dislike Ratio: ratio of thumbs up/thumbs down, reported by Social Blade.
Handgun: handgun or pistol present
Shotgun: shotgun present
Rifle: rifle present
Attributes: characteristics of firearm described
Protection: video indicates or exhibits firearms use for protection
Hunting: video indicates or exhibits firearms use for hunting
Recreation: video indicates or exhibits firearms use for recreation
2A: video indicates or references 2nd Amendment
NRA: video indicates or references NRA
Conceal Carry: video indicates or references firearms for concealed carry
Family: video indicates or exhibits family themes
Kids: video indicates or exhibits child use of firearms
Female: video includes a woman or quotes a woman
Patriotism: video indicates or exhibits patriotic themes (flags, US leaders, American pride)
Veterans: video references or exhibits veterans
Military: video references or exhibits military themes (soldiers, military use of weapons)
Police: video references or exhibits law enforcement themes (police, thin blue line) Western: video references or exhibits western or cowboy themes
Weblink: video links, displays or verbally mentions specific website with sales

Missing data codes: all data were coded
